Xente Fraud Detection Challenge
$4,500 USD
Accurately classify the fraudulent transactions from Xente's e-commerce platform
20 May–22 September 2019 23:59
1103 data scientists enrolled, 547 on the leaderboard
Data set
published 24 May 2019, 18:29

I want to know why in the test.csv set ,we haven't the target.

Hello Mohamed,

What's the point of predicting something if you know the real value in advance? (There still exist cases where this could be useful) but not in this kind of competitions.

test.csv file contains the the data you need to classify as fraudulent or not.

Hello you don’t need targ over hear. You’ve to predict it.